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---
license: apache-2.0
base_model: facebook/wav2vec2-base-960h
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: wev2vec-base960-agu-amharic
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# wev2vec-base960-agu-amharic
This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co./facebook/wav2vec2-base-960h) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3117
- Accuracy: 0.9230
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.8682 | 0.6649 | 500 | 0.7632 | 0.7564 |
| 0.4482 | 1.3298 | 1000 | 0.3501 | 0.9103 |
| 0.2724 | 1.9947 | 1500 | 0.3117 | 0.9230 |
| 0.2269 | 2.6596 | 2000 | 0.3456 | 0.9268 |
| 0.1663 | 3.3245 | 2500 | 0.3743 | 0.9275 |
| 0.1737 | 3.9894 | 3000 | 0.3714 | 0.9327 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
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